Text Classification
Transformers
Safetensors
themis
feature-extraction
decision-model
structured-prediction
probabilities
text-only
custom_code
lora
Instructions to use lothnic/themis-0.8b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lothnic/themis-0.8b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="lothnic/themis-0.8b", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("lothnic/themis-0.8b", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from lothnic/themis-0.8b: direct link, hf CLI and curl.
- Browser
- Download file 20 MB
-
https://huggingface.co/lothnic/themis-0.8b/resolve/main/tokenizer.json
- Command line
-
hf download hf://lothnic/themis-0.8b/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/lothnic/themis-0.8b/resolve/main/tokenizer.json
20 MB
- Xet hash:
- 5fa024012a19b4b27bd9cc3cb319afc44cb2fe4de00da37b8361a88ff307d3a1
- Size of remote file:
- 20 MB
- SHA256:
- fee9e514c51fdffdefd7125621c6d591b3698bb64b60e078cc1b709958ea841c
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